code: def test_batch_prediction(self):
      inputs = {
          "sentence": "The squirrel wrote a unit test to make sure its nuts worked as designed."
      }
      archive = load_archive(
          self.FIXTURES_ROOT / "srl" / "serialization" / "model.tar.gz"
      )
      predictor = Predictor.from_archive(
          archive, "semantic-role-labeling"
      )
      result = predictor.predict_batch_json([inputs, inputs])
      assert result[0] == result[1]
  
file_path: magnitude/pymagnitude/third_party/allennlp/tests/predictors/srl_test.py
imports: from __future__ import division
  from __future__ import absolute_import
  from allennlp.common.testing import AllenNlpTestCase
  from allennlp.models.archival import load_archive
  from allennlp.predictors import Predictor
label_desc: Use image node_id 2 for calling the TestSrlPredictor obj's underlying member method code with example usage: obj.test_batch_prediction() without return types